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Open AccessArticle

Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor

School of Electronic Science and Engineering, Nanjing University, Nanjing 210046, China
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Sensors 2013, 13(9), 11362-11384; https://doi.org/10.3390/s130911362
Received: 7 June 2013 / Revised: 20 August 2013 / Accepted: 20 August 2013 / Published: 26 August 2013
(This article belongs to the Special Issue Wearable Gait Sensors)
Non-contact human body measurement plays an important role in surveillance, physical healthcare, on-line business and virtual fitting. Current methods for measuring the human body without physical contact usually cannot handle humans wearing clothes, which limits their applicability in public environments. In this paper, we propose an effective solution that can measure accurate parameters of the human body with large-scale motion from a Kinect sensor, assuming that the people are wearing clothes. Because motion can drive clothes attached to the human body loosely or tightly, we adopt a space-time analysis to mine the information across the posture variations. Using this information, we recover the human body, regardless of the effect of clothes, and measure the human body parameters accurately. Experimental results show that our system can perform more accurate parameter estimation on the human body than state-of-the-art methods. View Full-Text
Keywords: human body measurement; motion capture; human body modeling; Microsoft Kinect human body measurement; motion capture; human body modeling; Microsoft Kinect
MDPI and ACS Style

Xu, H.; Yu, Y.; Zhou, Y.; Li, Y.; Du, S. Measuring Accurate Body Parameters of Dressed Humans with Large-Scale Motion Using a Kinect Sensor. Sensors 2013, 13, 11362-11384.

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